Tag: Analysis

September 7, 2014

Maybe some of you are already familiar with “OSMstats”, a website that provides numerous statistics about the OpenStreetMap (OSM) project. The site was created and is maintained by the two guys at altogetherlost.com. However, OSMstats has now been moved to the ResultMaps domain at osmstats.neis-one.org. I added several new features too. First of all, you can now select a specific date for your stats. Secondly, the main menu panel has been extended with a new entry for statistical information about OSM changesets.

Additionally, the graphs for the country statistics, the active members and daily edits are also available in a “year”-overview. I hope you like the new extensions. A big thanks to both guys at altogetherlost.com who originally created OSMstats!

Overall 400,000 mappers of the more than 1.7 million registered members contributed to the OSM project. Almost 375,000 contributors created at least one Node, 325,000 one Way and 70,000 one Relation object. In total the contributors collected more than 2.7 billion Nodes, 263 million Ways and 3 million relations. The percentage of newly created OSM objects (Nodes, Ways & Relations) has been more or less at the same level for the past few years (2010 to 2014): with17% to 20%. The following diagram shows the percentage of each created OSM object type.

June 1, 2014

This blog post is a summary of Dennis’ and my State of the Map (SotM) United States presentation. Maybe some of you already know about our publication: “Comparison of Volunteered Geographic Information Data Contributions and Community Development for Selected World Regions”. From the abstract: “Our findings showed significantly different results in data collection efforts and local OSM community sizes. European cities provide quantitatively larger amounts of geodata and number of contributors in OSM …”. “Furthermore, the results showed significant data contributions by members whose main territory of interest lies more than one thousand kilometers from the tested areas.” Especially the last finding is quite interesting when considering “arm-chair-mapping” in OSM.

However, for our SotM US session we repeated some of the conducted analyses for 50 urban areas in the United States to see whether similar patterns could be determined. You can find the session abstract here; additionally the ppt slides and also a video are online. The following animation shows the number of contributor’s evolution in the US from 2007 to 2014.

August 10, 2013

One and a half years ago (end of 2011), one of my open access publications (“Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap“) was published. It contained several interesting findings about the contributions made by the community of the OSM project. The results showed that the community follows a particular pattern that many other online community based projects tend to struggle with too. Only a small number of the members really contribute in a meaningful way to the project. Additionally, the publication illustrated how many contributors are located in Europe and other areas of the world and how and where mappers contribute data over a certain period time.

June 5, 2013

Last year we wrote a journal paper in which we analyzed the OpenStreetMap (OSM) dataset of the United States which was published on May 28th, 2013 in the Transactions in GIS Journal. You can download a free pre-print version here. This paper has been published just on time to add to the discussion at the upcoming State of the Map United States conference which will take place in San Francisco and includes some presentations about data imports to OSM. Unfortunately, Dennis and I cannot attend the conference this year, so we decided to write a blog post with some additional and up-to-date numbers.

August 31, 2012

A few months ago, Frederik Ramm posted an idea on the German OpenStreetMap mailing list about a new (stochastic) approach to OSM data quality assurance. You can find his original German post here. His idea was to create a way to allow users to “like” or “dislike” a specific region on the OSM map, a function that other popular websites such as YouTube or Facebook implemented to allow users to provide feedback to videos or status updates. For OSM this particular function could give some indicators or trends about the OSM map data.

I really liked his idea and in collaboration with Frederik I created an Open Source OpenLayers plugin. For all new readers: OpenLayers is an Open Source library which can implement a dynamic (OSM) map into more or less any webpage. One of our goals was to make the integration of the ILikeOSM plugin as easy as adding a tile server to your OpenLayers map.

April 29, 2012

Since past Friday the OpenStreetMap project has more than 600 000 registered members. As many of you may know, not every new registered member starts contributing to the project right away. Based on my “How did you contribute to OSM?” database I created a small (but neat) webpage which shows where the newest registered OpenStreetMap (OSM) members made one of their first edits. The following image shows a screenshot of the new webpage:

The visualized data will be updated on a daily basis. At the moment there are two layers available: one layer displays the latest members of the past two days, while the other layer does the same for the past seven days. At lower zoom-levels the icons are clustered and only show the number of new members. However, on higher zoom-levels you can click on the individual icons to get further information about the new project member. Thanks to Stamen for their really nice looking watercolor map. Would you like to see more statistics about the number of new contributors for each individual country?

April 6, 2012

Some of you might already know that OpenStreetMap released a first bulk GPS point dataset last weekend. It contains almost 2.8 milliard (or for readers in the US 2.8 billion) points and is provided in its raw format, which means that only coordinate information is available for each point. Unfortunately it does not include any additional information or metadata. You can read more about it at the OSM Foundation Blog.

The first idea that came to my mind was a simple comparison analysis to answer the following questions: Where are all those points located and which country has the most GPS points? In a first try I conducted some results that showed that all points are distributed over 238 countries. For my analysis I used the OSM Mapnik world boundaries from the wiki. As you can see in the following pie chart, nearly 21% of the points are located in Russia (about 570 million points) and another 18% in Germany (about 500 million points). Does Russia have so many GPS points because of the country size or is the community just exceptionally active with GPS devices? However, the strange thing is that Germany is, with about 18%, “only” on the second place this time, weird isn’t it? 😉

November 6, 2011

The last unmapped places analysis for OpenStreetMap that I conducted is nearly eight months ago. So I figured it was about time to create a new one. You can read in the last blog post how my algorithm exactly works.

However, at the moment (Nov. 4th. 2011) we have (according to the Geofabrik extract) about 597 000 entries in OSM for places that are located within “Europe“. This means we have an overall increase of about 90 000 places within the past eight months. We can separate them into several types with different values: